Below is a selection of dissertations from the Doctor of Philosophy in Computational and Data Sciences program in Schmid College that have been included in Chapman University Digital Commons. Additional dissertations from years prior to 2019 are available through the Leatherby Libraries' print collection or in Proquest's Dissertations and Theses database.

If you are a previous student and would like to include your dissertation in Chapman University Digital Commons, please contact Kristin Laughtin-Dunker at laughtin@chapman.edu.

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Dissertations from 2019

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Bias Reduction in Machine Learning Classifiers for Spatiotemporal Analysis of Coral Reefs using Remote Sensing Images, Justin J. Gapper

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Estimating Auction Equilibria using Individual Evolutionary Learning, Kevin James

Theses from 2017

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Optimized Forecasting of Dominant U.S. Stock Market Equities Using Univariate and Multivariate Time Series Analysis Methods, Michael Schwartz